These two are my favorite balance of fundamentals and getting to purposeful application as quickly as possible (the first link is definitely not enough, but combined with the second she should be comfortable with the syntax and able to get basic things working):
https://www.kaggle.com/learn/intro-to-programming
https://www.kaggle.com/learn/python

This one takes its time with fundamentals and includes some projects to put them in context of building something. It’s presented on Google Colab and Jupyter notebooks: https://allendowney.github.io/ThinkPython/

Working with GIS data means cleaning data. This one covers that and a lot of common analysis tools and techniques. But it assumes a bit of programming knowledge (Good to follow up after one of the options above: https://wesmckinney.com/book/

I think that Hashimoto is using this project to iron out details that are left unaddressed due to convenience for other projects and the very low impact of any single issue Hashimoto has addressed. But much like with Apple projects, Hashimoto intends for the the end product to have greater value than the sum of the parts. Unlike Apple, it will be perfomant cross platform.

I think the only way to evaluate a project like this is to ignore the feature comparison charts and use it to see if it really is better when those details are addressed. I have a feeling that many people will agree and most will shrug their shoulders and not give it a second look if they even gave it a first one.

I’ll be trying Ghostty out soon. I hope it’s great. But I’m not expecting to be blown away.

Lemmy still doesn’t let someone post an embedded link and picture. People don’t realize that you have to include the linkin the body of the post which is annoying and intuitive, specially because when creating a new post Lemmy will allow you to fill out both form fields for link and picture but only use one.

I’m not sure I understand the trade offs you’re choosing by deploying this way. The benefit of simplicity an speed of deployment seems clear from your write-up. But are those the most important considerations? Why or why not?

How are you liking bearblog.dev?

This is a teaser for the promised future posts. Don’t ghost us.

Everyone can save time and just read your synopsis. These are billionaires backed by huge investment funds fighting over service fees.

Probably want to add experimental in there too.

I get the sense that you might appreciate golang.

We’re all not existing together!

Hopefully they can figure out a fix soon.

It seems there’s room for both

FYI the person with enough money to donate $300,000 to a programming language foundation is the founder of HashiCorp.

If each lemmy instance has only a partial dataset

You can stop saying if. It is nearly certain that any instance only has a partial dataset in the same way that a search engine only indexes a partial dataset of every web page.

If this is the case: what happens if a bad actor subscribes to all communities of all servers?

There are bots that were built to do exactly that. I wouldn’t call them bad actors unless the instance owner prohibited such actions.

Ente is a beautiful, private cloud for your memories, with apps for mobile, desktop and web.

At Ente, we use Local AI to deliver features like face recognition and magic search, while respecting the privacy of your photos.

We’ll now join a cohort of builders pushing technology forward for an AI that is light, private and accessible.

What have you built? What larger projects have you contributed to?

That link didn’t work for me.

Or complete clients, doesn’t even need to be great but incorporating all features would be nice.

Some people who are self studying Structure and Interpretation of Computer Programs have been using a discord server to assist each other as needed. I realize that there are a number of people using Lemmy whi are very opposed to using discord over other options, but I don’t know of any other sustained forums focused on this book.

https://discord.gg/j2tCPpMq

That’s an entry point into programming that’s not for everyone. It seems like the poster is looking for something more hands on and pragmatic rather than technical and academic.

An author of the original book, Allen B. Downey, has released a third edition if his updates that is also available online at no cost and in Allen B. Downey’s words:

The book is now entirely in Jupyter notebooks, so you can read the text, run the code, and work on the exercises – all in one place. Using the links below, you can run the notebooks on Colab, so you don’t have to install anything to get started.

The text is substantially revised and a few chapters have been reordered. There are more exercises now, and I think a lot of them are better.

It’s interesting to see how the same source material has grown into two differently maintained and similar resources.